The NWP model HRRR also provides atmospheric observations at forecast time \(t_0\)  that is a result of an hourly updated data assimilation system [1]}. We use 612 of these variables that capture atmospheric and oceanic variables such as pressure at various altitudes in the atmosphere, humidity, wind velocity and direction, temperature and current precipitation levels. The data generally originates from sparse empirical measurements but the result of the data assimilation process is a dense grid with a spatial resolution of 3 km \(\times \)  3 km.
